893 boosters for "ci" — open source, verified from GitHub, ready to install
Build professional-grade design systems in Figma that match code. This skill orchestrates multi-phase workflows across 20–100+ calls, enforcing quality patterns from real-world design systems (Material 3, Polaris, Figma UI3, Simple DS). Every design system build follows this phase order. Skipping o
Automates the complete GitHub workflow (stage, commit, push, PR) via GitHub CLI in a single flow with consistent naming conventions. Developers who frequently create pull requests benefit from reduced repetitive command execution.
This skill helps you generate custom design system rules tailored to your project's specific needs. These rules guide AI coding agents to produce consistent, high-quality code when implementing Figma designs, ensuring that your team's conventions, component patterns, and architectural decisions are
Automates the conversion of conversations and decisions into organized Notion wiki entries, how-tos, and FAQs with proper linking. Ideal for teams wanting to systematize knowledge capture and avoid losing context from chats and notes.
A meta-guide that helps users create or update specialized skills to extend Codex's capabilities with domain-specific knowledge and workflows. Developers and AI agents building custom extensions benefit from this structured approach to skill development.
This booster helps developers build, review, and architect ASP.NET Core web applications by providing guidance aligned with current Microsoft best practices. It's essential for teams working with Blazor, Razor Pages, APIs, and other ASP.NET Core patterns.
This booster enables OS-level desktop and window screenshot capture when users explicitly request it or when tool-specific capabilities are unavailable. Developers and AI assistants benefit from having a fallback capture mechanism for debugging, documentation, and UI inspection tasks.
Provides developers with authoritative, up-to-date OpenAI API documentation and guidance by prioritizing official MCP tools for questions about building with OpenAI products. Ideal for developers integrating OpenAI APIs who need reliable, cited references.
This booster helps Claude synthesize research from multiple Notion pages into structured briefs, reports, and comparisons with proper citations. It's ideal for knowledge workers and developers who need to aggregate and document information from Notion workspaces.
Provides language-specific security best-practice reviews and improvement suggestions for Python, JavaScript/TypeScript, and Go code. Developers building secure applications benefit from automated security guidance tailored to their framework and language.
Debugs and fixes failing GitHub Actions PR checks by inspecting logs and proposing solutions with explicit approval gates. Developers using GitHub Actions in CI/CD pipelines benefit from faster troubleshooting and fixes.
Analyzes git repositories to map security ownership, identify bus factors, and detect orphaned sensitive code, exporting results for graph visualization. Essential for security teams and DevOps engineers managing code risk and maintainer dependencies.
<a href="https://github.com/VoltAgent/voltagent"> <img width="1500" height="500" alt="Group 32" src="https://github.com/user-attachments/assets/55b97c47-8506-4be0-b18f-f5384d063cbb" /> <div align="center">
Plugins that turn Claude into a specialist for your role, team, and company. Built for Claude Cowork, also compatible with Claude Code. Cowork lets you set the goal and Claude delivers finished, professional work. Plugins let you go further: tell Claude how you like work done, which tools and data t
Methodology and best practices for account reconciliation, including GL-to-subledger, bank reconciliations, and intercompany. Covers reconciling item categorization, aging analysis, and escalation. Compare the general ledger control account balance to the detailed subledger balance. 1. Pull GL balan
A comprehensive collection of 1000+ production-ready agentic skills for Claude and related AI coding platforms, enabling developers to rapidly build autonomous multi-agent systems with specialized, battle-tested capabilities.
This booster equips AI coding assistants with specialized guidance for reading, creating, and editing Word documents programmatically while maintaining formatting and layout fidelity. Developers working with `.docx` files—especially those requiring professional formatting, tables, or visual validation—will find this booster invaluable.
Promptfoo is an LLM evaluation and testing toolkit that helps developers systematically test, benchmark, and validate prompt performance across different models and scenarios. It's essential for teams building LLM applications who need rigorous quality assurance and prompt optimization.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "claude-plugins-official", "description": "Directory of popular Claude Code extensions including development tools, productivity plugins, and MCP integrations",
Polish is a final quality assurance skill that refines UI/UX details like alignment, spacing, and consistency before deployment. It's useful for developers and designers who want to elevate finished features from good to production-ready.
"name": "baoyu-skills", "name": "Jim Liu (宝玉)", "email": "junminliu@gmail.com"
Build and publish a Gradio demo on Hugging Face Spaces that runs inference with a user-provided LoRA. Use whenever someone asks to create, generate, ship, or publish "a Space", "a demo", "a Gradio app", or "a playground" for a LoRA — whether the base model is Qwen-Image, Qwen-Image-Edit, LTX, or ano
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the command line tool. Model and Dataset cards can be accessed from repos
